DocumentCode :
838292
Title :
A nonlinear optimization algorithm for WindSat wind vector retrievals
Author :
Bettenhausen, Michael H. ; Smith, Craig K. ; Bevilacqua, Richard M. ; Wang, Nai-Yu ; Gaiser, Peter W. ; Cox, Stephen
Author_Institution :
Remote Sensing Div., Naval Res. Lab., Washington, DC, USA
Volume :
44
Issue :
3
fYear :
2006
fDate :
3/1/2006 12:00:00 AM
Firstpage :
597
Lastpage :
610
Abstract :
WindSat is a space-based polarimetric microwave radiometer designed to demonstrate the capability to measure the ocean surface wind vector using a radiometer. We describe a nonlinear iterative algorithm for simultaneous retrieval of sea surface temperature, columnar water vapor, columnar cloud liquid water, and the ocean surface wind vector from WindSat measurements. The algorithm uses a physically based forward model function for the WindSat brightness temperatures. Empirical corrections to the physically based model are discussed. We present evaluations of initial retrieval performance using a six-month dataset of WindSat measurements and collocated data from other satellites and a numerical weather model. We focus primarily on the application to wind vector retrievals.
Keywords :
artificial satellites; atmospheric techniques; data acquisition; microwave measurement; radiometry; remote sensing; wind; WindSat; brightness temperature; columnar cloud liquid water; columnar water vapor; nonlinear optimization algorithm; ocean surface wind vector; sea surface temperature; space-based polarimetric microwave radiometer; wind vector retrieval; Brightness temperature; Clouds; Information retrieval; Iterative algorithms; Microwave measurements; Microwave radiometry; Ocean temperature; Sea measurements; Sea surface; Wind; Microwave radiometer; WindSat; ocean surface winds; polarimetric; retrieval;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2005.862504
Filename :
1597466
Link To Document :
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